Eldad Kepten
Impact in
- Modeling and Simulation top 0.2%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Fractional Differential Equations Solutions 7
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 1
- Co-authors
- Ran D. Balicer (6 shared papers)Noam Barda (5 shared papers)Noa Dagan (4 shared papers)Marc Lipsitch (3 shared papers)Ben Y. Reis (4 shared papers)Miguel Ángel Hernán (2 shared papers)Yuval Garini (12 shared papers)Mark A. Katz (2 shared papers)
- Journals
- Nature Communications (2 papers)New England Journal of Medicine (2 papers)Biophysical Journal (2 papers)PLoS ONE (2 papers)Nature Medicine (1 paper)
- Partner nations
- IsraelUnited StatesPoland
In The Last Decade
Eldad Kepten
21 papers receiving 4.3k citations
Eldad Kepten's Hit Papers
Peers
Comparison fields: 5 of 98
- Modeling and Simulation 634
- Infectious Diseases 1.7k
- Health 128
- Toxicology 36
- Biophysics 44
Countries citing papers authored by Eldad Kepten
This map shows the geographic impact of Eldad Kepten's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eldad Kepten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eldad Kepten more than expected).
Fields of papers citing papers by Eldad Kepten
This network shows the impact of papers produced by Eldad Kepten. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eldad Kepten. The network helps show where Eldad Kepten may publish in the future.
Co-authors
The 25 scholars most cited alongside Eldad Kepten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting Hit paper breakdown → | 2021 | 1960 |
| 2 | Safety of the BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Setting Hit paper breakdown → | 2021 | 802 |
| 3 | 2009 | 428 | |
| 4 | 2021 | 276 | |
| 5 | 2015 | 231 | |
| 6 | 2012 | 139 | |
| 7 | 2015 | 119 | |
| 8 | 2013 | 93 | |
| 9 | 2015 | 75 | |
| 10 | 2011 | 67 | |
| 11 | 2022 | 39 | |
| 12 | 2016 | 38 | |
| 13 | 2015 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2015 | 11 | |
| 17 | 2021 | 9 | |
| 18 | 2015 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2013 | 5 |
About Eldad Kepten
Eldad Kepten is a scholar working on Modeling and Simulation, Infectious Diseases, Biophysics, Molecular Biology and Hematology, having authored 21 papers that have together received 4.3k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Nuclear Structure and Function (2 papers), Gene Regulatory Network Analysis (1 paper), COVID-19 Clinical Research Studies (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Herpesvirus Infections and Treatments (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Modeling and Simulation (634 citations), Infectious Diseases (1.7k citations), Health (128 citations), Toxicology (36 citations) and Biophysics (44 citations). Eldad Kepten has collaborated with scholars based in Israel, United States and Poland. Frequent co-authors include Ran D. Balicer, Noam Barda, Noa Dagan, Marc Lipsitch, Ben Y. Reis, Miguel Ángel Hernán, Yuval Garini, Mark A. Katz, Oren Miron and Yaron Shav‐Tal. Their work appears in journals such as Nature Communications, New England Journal of Medicine, Biophysical Journal, PLoS ONE and Nature Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.